UNDERSTANDING RESILIENCE AND SETTLEMENT IN REFUGEE YOUTH: A CRITICAL NARRATIVE STUDY
Bibliographic record
Abstract
This study seeks to explore the resilience and settlement of refugee youth through critical narrative. Objectives of this study are: (1) to explore the facilitators and barriers of the resettlement phase of youth refugees and to identify ways in which services and policies can better facilitate youth refugees' successful transitions to Ontario, Canada, according to the teenagers themselves and, (2) to explore in brief youth refugees' health status throughout the resettlement process, according to their own perspectives. This study explores the literature to date of refugee youth and settlement issues, assesses the pros and cons of the use of visual methodologies, specifically the use of body mapping with refugee youth, presents critical narratives of the participants, and provides implications for further research and practice. Findings suggest that time for body mapping interviews was greater than envisioned; there were no major health concerns among participants and; education, relationships with family and friends, faith, and hope for the future are key contributors to the resilience of refugee youth.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.010 | 0.013 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.014 | 0.013 |
| Scholarly communication | 0.007 | 0.007 |
| Open science | 0.001 | 0.009 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".